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Intelligent robust control system for motorcycle using soft computing optimizer

  • US 7,251,638 B2
  • Filed: 03/03/2004
  • Issued: 07/31/2007
  • Est. Priority Date: 03/03/2004
  • Status: Expired due to Fees
First Claim
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1. A method for optimizing a knowledge base in a soft computing controller for maneuvering a motorcycle, comprising:

  • selecting a fuzzy model by selecting one or more parameters, said one or more parameters comprising at least one of a number of input variables, a number of output variables, a type of fuzzy inference model, and a teaching signal;

    optimizing linguistic variable parameters of a knowledge base according to said one or more parameters to produce optimized linguistic variables according to a teaching signal obtained from a dynamic simulation model of a motorcycle and rider;

    ranking rules in said rule base according to firing strength; and

    eliminating rules with relatively weak firing strength leaving selected rules from said rules in said rule base;

    optimizing said selected rules, using said fuzzy model, said linguistic variable parameters and said optimized linguistic variables, to produce optimized selected rules.

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